Agnew-Heard KA, Lancaster VA, Bravo R, Watson C, Walters MJ, Holman MR. Multivariate Statistical Analysis of Cigarette Design Features Influence on ISO TNCO Yields *Forthcoming 2016*. Tobacco Control. 2016;In Press.
Agnew-Heard KA, Lancaster VA, Bravo R, Watson C, Walters MJ, Holman MR. Multivariate Statistical Analysis of Cigarette Design Features Influence on CAN TNCO Yields *Forthcoming 2016*. Tobacco Control. 2016;In Press.
Keller S S. Shipp M. Orr D. Higdon G. Korkmaz A. Schroeder E. Molfino B. Pires K. Ziemer and D. Weinberg. Leveraging External Data Sources to Enhance Official Statistics and Products. Report prepared for the U.S. Census Bureau. Arlington, VA: Social and Decision Analytics Laboratory (SDAL), Biocomplexity Institute of Virginia Tech; 2016.
Keller S, Korkmaz G, Orr M, Schroeder A, Shipp S. The Evolution of Data Quality: Understanding the Transdisciplinary Origins of Data Quality Concepts and Approaches. Annual Review of Statistics and Its Application. 2016.
Keller S, Shipp S. Building Resilient Cities: Harnessing the Power of Urban Analytics in The Resilience Challenge: Looking at Resilience through Multiple Lens. Bohland J, Knox P, eds. Charles C. Thomas Ltd Publishers; 2016. The Resiliency Change: In Translation Theory to Action.
Keller SA, Shipp S, Schroeder A. Does Big Data Change the Privacy Landscape? A Review of the Issues. Annual Review of Statistics and Its Application. 2016;3(1).
Korkmaz G, Cadena J, Kuhlman CJ, Marathe A, Vullikanti A, Ramakrishnan N. Multi-source models for civil unrest forecasting. Social Network Analysis and Mining. 2016;6(1):1–25.
Korkmaz G, Kuhlman CJ, Ravi SS, Vega-Redondo F. Approximate Contagion Model of Common Knowledge on Facebook. Acm; 2016:231–236. Proceedings of the 27th ACM Conference on Hypertext and Social Media.
Schaefer Ziemer K, Korkmaz G. Human vs. Automated Text Analysis: Estimating Positive and Negative Affect. Acm; 2016:309–314. Proceedings of the 27th ACM Conference on Hypertext and Social Media.
Weaver BP, Williams BJ, Anderson-Cook CM, Higdon DM. Computational enhancements to Bayesian design of experiments using Gaussian processes. Bayesian Analysis. 2016;11(1):191–213.
Abdelhamid SEM, Kuhlman CJ, Korkmaz G, Marathe MV, Ravi SS. EDISON: a web application for computational health informatics at scale. Acm; 2015:413–422. Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatic.
Bornn L, Farrar CR, Higdon D, Murphy KP. Modeling and diagnosis of structural systems through sparse dynamic graphical models. Mechanical Systems and Signal Processing. 2015.
Cadena J, Korkmaz G, Kuhlman CJ, Marathe A, Ramakrishnan N, Vullikanti A. Forecasting Social Unrest Using Activity Cascades. PloS one. 2015;10(6):e0128879.
Chylek P, Vogelsang TJ, Klett JD, et al. Indirect aerosol effect increases CMIP5 models projected Arctic warming. Journal of Climate. 2015;(2015).
Goldstein J. Compartmental, Spatial And Point Process Models For Infectious Diseases
[Ph.D. thesis]. The Pennsylvania State University; 2015.
Goldstein J, Haran M, Bjornstad ON, Liebhold A. Quantifying Spatio-Temporal Variation of Invasion Spread. arXiv preprint arXiv:1506.02685. 2015.
Goldstein J, Haran M, Simeonov I, Fricks J, Chiaromonte F. An attraction?repulsion point process model for respiratory syncytial virus infections. Biometrics. 2015;71(2):376–385.
Heitmann K, Bingham D, Lawrence E, et al. The Mira-Titan Universe: Precision Predictions for Dark Energy Surveys. arXiv preprint arXiv:1508.02654. 2015.
Keller S, Hiemel J. Leadership: An Untold Story in Leadership and Women in Statistics. Golbeck AL, Olkin I, Ge YR, eds. London: Chapman and Hall/CRC Publishers; 2015.
Keller S, Shipp S. Building Resilient Cities: Harnessing the Power of Urban Analytics in The Resilience Challenge: Looking at Resilience through Multiple Lens. Charles C. Thomas Ltd Publishers; 2015.
Keller S, Shipp S, Schroeder A. Does Big Data Change the Privacy Landscape? A Review of the Issues. Annual Review of Statistics and Its Application. 2015.
Korkmaz G, Cadena J, Kuhlman CJ, Marathe A, Vullikanti A, Ramakrishnan N. Combining Heterogeneous Data Sources for Civil Unrest Forecasting. Acm; 2015:258–265. Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis an.
McDonnell JD, Schunck N, Higdon D, Sarich J, Wild SM, Nazarewicz W. Uncertainty quantification for nuclear density functional theory and information content of new measurements. Physical review letters. 2015;114(12):122501.
Orr MG, Lewis B, Ziemer K, Keller S. Search Health Topics Health Care Delivery. Issues. 2015;2013.
Pratola MT, Higdon DM. Bayesian Additive Regression Tree Calibration of Complex High-Dimensional Computer Models. Technometrics. 2015;(just-accepted):00.
Feng S, Chiesa OA, Kijak P, et al. Determination of ceftiofur metabolite desfuroylceftiofur cysteine disulfide in bovine tissues using liquid chromatography?tandem mass spectrometry as a surrogate marker residue for ceftiofur. Journal of agricultural and food chemistry. 2014;62(22):5011–5019.
Higdon D, McDonnell JD, Schunck N, Sarich J, Wild SM. A Bayesian Approach for Parameter Estimation and Prediction using a Computationally Intensive Model. arXiv preprint arXiv:1407.3017. 2014.
Keneshloo Y, Cadena J, Korkmaz G, Ramakrishnan N. Detecting and forecasting domestic political crises: a graph-based approach. Bloomington, Indiana, USA: Acm; 2014. Proceedings of the 2014 ACM conference on Web science.
Korkmaz G, Kuhlman CJ, Marathe A, Marathe MV, Vega-Redondo F. Collective action through common knowledge using a facebook model. Paris, France: International Foundation for Autonomous Agents and Multiagent Systems; 2014. Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems.
Osthus D, Caragea PC, Higdon D, Morley SK, Reeves GD, Weaver BP. Dynamic linear models for forecasting of radiation belt electrons and limitations on physical interpretation of predictive models. Space Weather. 2014;12:426–446.
Pratola MT, Chipman HA, Gattiker JR, Higdon DM, McCulloch R, Rust WN. Parallel Bayesian Additive Regression Trees. Journal of Computational and Graphical Statistics. 2014;23:830–852.
Ramakrishnan N, Butler P, Muthiah S, et al. 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators Detecting and forecasting domestic political crises: a graph-based approach Collective action through common knowledge using a facebook model. New York, New York, USA Bloomington, Indiana, USA Paris, France: ACM International Foundation for Autonomous Agents and Multiagent Systems; 2014. Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining.
Storlie CB, Lane WA, Ryan EM, Gattiker JR, Higdon DM. Calibration of Computational Models with Categorical Parameters and Correlated Outputs via Bayesian Smoothing Spline ANOVA. Journal of the American Statistical Association. 2014:00.
Funsten HO, DeMajistre R, Frisch PC, et al. Circularity of the Interstellar Boundary Explorer ribbon of enhanced energetic neutral atom (ENA) flux. The Astrophysical Journal. 2013;776:30.
Gupta N, Healey DW, Stein AM, Shipp SS. Innovation Policies of South Korea.. 2013.
Gupta N, Shipp SS, Nash SH, Herrera GJ, Healey DW. Innovation Policies of Russia. Alexandria, VA: Institute for Defense Analyses; 2013.
Gupta N, Weber C, Pena V, Shipp SS, Healey and D. Innovation Policies of Brazil. Vol. No. IDA-P-5039. Alexandria, VA: Institute for Defense Analyses; 2013.
Higdon D, Gattiker J, Lawrence E, et al. Computer Model Calibration Using the Ensemble Kalman Filter. Technometrics. 2013;55:488–500.
Howieson SV, Sedenberg EM, Sergi BJ, Shipp SS. Department of Energy Technology Maturation Programs.. 2013.
Howieson SV, Sergi BJ, Shipp SS. Department of Energy Agreements for Commercializing Technology.. 2013.
Howieson SV, Shipp SS, Walejko GK, et al. Exemplar Practices for Department of Defense Technology Transfer.. 2013.
Koonin SE, Keller SA, Shipp SS, Allen TW, Walejko GK. Pathways to Cooperation between the Intelligence Community and the Social and Behavioral Science Communities.. 2013.
Peña V, Howieson SV, Shipp SS. Federal Partnerships for Facilities, Infrastructure, and Large Instrumentation.. 2013.
Shipp S. Attending your first JSM-Working hard and playing even harder. AMSTAT news: the membership magazine of the American Statistical Association. 2013:20–21.
Swain MD, Orzechowski KL, Swaim HL, et al. P-gp substrate-induced neurotoxicity in an Abcb1a knock-in/Abcb1b knock-out mouse model with a mutated canine ABCB1 targeted insertion. Research in veterinary science. 2013;94(3):656–661.
Bradburn I, Schroeder AD, Tester D, Forry N. New Data on Child Care Subsidy Programs. Policy & Practice. 2012.
Chiesa OA, Li H, Kijak PJ, et al. Tissue/fluid correlation study for the depletion of sulfadimethoxine in bovine kidney, liver, plasma, urine, and oral fluid. Journal of veterinary pharmacology and therapeutics. 2012;35(3):249–258.
Council NR. Assessing the reliability of complex models: mathematical and statistical foundations of verification, validation, and uncertainty quantification
. National Academies Press; 2012.
Howieson SV, Peña V, Shipp SS, Koopman KA, Scott JA, Clavin CT. A Study of Facilities and Infrastructure Planning, Prioritization, and Assessment at Federal Security Laboratories. Institute For Defense Analyses Washington Dc Science And Technology Policy Institute; 2012.
Keller SA, Koonin SE, Shipp S. Big data and city living-what can it do for us? Significance. 2012;9:4–7.
NCR. Managing for High Quality Science and Engineering at the NNSA National Security Laboratories, prepared by committee (S. Keller member). Washington, DC: National Research Council, The National Academies Press; 2012.
Peters SM, Yancy H, Deaver C, et al. In vivo characterization of inflammatory biomarkers in swine and the impact of flunixin meglumine administration. Veterinary immunology and immunopathology. 2012;148(3):236–242.
Schroeder AD. Pad and Chaff : Secure Approximate String Matching in Private Record Linkage. New York: Acm; 2012. Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services.
Shipp SS, Gupta N, Lal B, et al. Emerging Global Trends in Advanced Manufacturing. DTIC Document; 2012.
Shipp SS, Gupta N, Scott JA, Weber CL, Finnin MS, Lal B. Advancing Manufacturing to New Frontiers. innovations. 2012;7:71.
Walejko GK, Hughes ME, Howieson SV, Shipp SS. Federal laboratory-business commercialization partnerships. Science. 2012;337:1297–1298.
Boehmer JL, DeGrasse JA, Lancaster VA, McFarland MA, Callahan JH, Ward JL. Evaluation of protein expression in bovine bronchoalveolar fluid following challenge with Mannheimia haemolytica. Proteomics. 2011;11(18):3685–3697.
Feasibility Study of an Outcome Evaluation of the National Institutes of Health's New Innovator Award Program. Feasibility Study of an Outcome Evaluation of the National Institutes of Health's New Innovator Award Program.. 2011.
Howieson S, Hughes ME, Shipp S, Walejko G. Factors Affecting the Speed and Dissemination of Technology Transferred from the Federal Laboratories.. 2011.
Husband Fealing K, Lane JI, Marburger J, Shipp S. Science of Science Policy: The Handbook.. 2011.
Lane J, Fealing K, Marburger Iii J, Shipp S. The science of science policy: A Handbook
. Stanford University press; 2011.
Philogene GS, Leader BL-T, Hughes ME, et al. Outcome Evaluation of the National Institutes of Health (NIH) Director's Pioneer Award (NDPA), FY 2004-2005 Final Report.. 2011.
Bradburn I, Schroeder AD, Day K. Local School Division Student Assessments at Kindergarten Enrollment and During Kindergarten: Current Practices Across Virginia.; 2010.
Evaluation Metrics Manual for the National Institute of Environmental Health Science(NIEHS): Measuring Outcomes to Advance Partnerships for Environmental Public Health(PEPH). Evaluation Metrics Manual for the National Institute of Environmental Health Science (NIEHS): Measuring Outcomes to Advance Partnerships for Environmental Public Health (PEPH).. 2010. http://www.niehs.nih.gov/research/supported/dert/sphb/programs/peph/metrics/index.cfm
Heitmann K, White M, Wagner C, Habib S, Higdon D. The coyote universe. I. Precision determination of the nonlinear matter power spectrum. The Astrophysical Journal. 2010;715:104.
Holsclaw T, Alam U, Sansó B, et al. Nonparametric dark energy reconstruction from supernova data. Physical review letters. 2010;105:241302.
Lawrence E, Heitmann K, White M, et al. The coyote universe. III. simulation suite and precision emulator for the nonlinear matter power spectrum. The Astrophysical Journal. 2010;713:1322.
Pires B, Crooks AT, Geller A. An agent-based model of organized crime: Favelas and the drug trade.; 2010. 2nd Brazilian Workshop on Social Simulation.
Schroeder AD. Multi-Agency Integration of Child-Relevant Data Sets in the Commonwealth of Virginia: Application of a Privacy Protecting Federated Model. Washington, D.C.; 2010. Proceeding of the Institute for IES 26th Annual Management Information Systems (MIS) Conference, “Launching Data Initiatives”.
Schroeder AD, Bradburn. Development of a Classification System for Quality Initiative (QI) Activities Reported by Local Social Service Agencies in Virginia.; 2010.
Campbell S, Shipp S, Mulcahy T, Allen TW. Informing public policy on science and innovation: the Advanced Technology Program's experience. The Journal of Technology Transfer. 2009;34:304–319.
Heitmann K, Higdon D, White M, et al. The coyote universe. ii. cosmological models and precision emulation of the nonlinear matter power spectrum. The Astrophysical Journal. 2009;705:156.
Rose S, Shipp S, Lal B, Stone A. Frameworks for Measuring Innovation: Initial Approaches. Athena Alliance, Washington. 2009.
Shipp S, Stanley M. Government's Evolving Role in Supporting Corporate R&D in the United States: Theory, Practice, and Results in the Advanced Technology Program. National Academies Press; 2009:57. 21st Century Innovation Systems for Japan and the United States: Lessons from a Decade of Change: Re.
Vrugt JA, Ter Braak CJF, Diks CGH, Robinson BA, Hyman JM, Higdon D. Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling. International Journal of Nonlinear Sciences and Numerical Simulation. 2009;10:273–290.
Higdon D, Gattiker J, Williams B, Rightley M. Computer model calibration using high-dimensional output. Journal of the American Statistical Association. 2008;103.
Jarrott SE, Tech V, Development H, et al. Shared Sites : An Analysis Comparing Operational Costs of Intergenerational Shared Site Facilities. Washington, D.C.; 2008.
Lane J, Shipp S. Using a remote access data enclave for data dissemination. International Journal of Digital Curation. 2008;2:128–134.
NCR. Evaluation of Quantification of Margins and Uncertainities Methodology for Assessing and Certifying the Reliablity of the Nuclear Stockpile, prepared by committee (S. Keller-McNulty member). National Research Council, The National Academies Press; 2008.
Steinberg DM, Bisgaard S, Doganaksoy N, et al. The future of industrial statistics: A panel discussion. Technometrics. 2008;50:103–127.
Stone A, Rose S, Lal B, Shipp S. Measuring innovation and intangibles: A business perspective. Institute for Defense Analysis, Science and Technology Policy Institute, Washington, DC. 2008.
Beaulieu JC, Lancaster VA. Correlating volatile compounds, sensory attributes, and quality parameters in stored fresh-cut cantaloupe. Journal of agricultural and food chemistry. 2007;55(23):9503–9513.
Habib S, Heitmann K, Higdon D, Nakhleh C, Williams B. Cosmic calibration: Constraints from the matter power spectrum and the cosmic microwave background. Physical Review D. 2007;76:083503.
Heitmann K, Higdon D, Nakhleh C, Habib S. Cosmic calibration. The Astrophysical Journal Letters. 2006;646:L1.
Keller-McNulty S, Bellman KL, Carley KM, Davis PK, Ivanetich R, Laskey KB. Defense modeling, simulation, and analysis: Meeting the challenge. National Research Council, The National Academies Press, ISBN 0-309-10303-7. 2006.
Linkletter C, Bingham D, Hengartner N, Higdon D, Kenny QY. Variable selection for Gaussian process models in computer experiments. Technometrics. 2006;48.
Shipp S, Wisniewski L, Wang A, Campbell S, Levin K, O?Brien J. Behavioural Additionality of the US Advanced Technology Programme. Government R&D Funding and Company Behaviour. 2006:219.
Williams B, Higdon D, Gattiker J, Moore L, McKay M, Keller-McNulty S. Combining experimental data and computer simulations, with an application to flyer plate experiments. Bayesian Anal.
. 2006:765–792. http://projecteuclid.org/euclid.ba/1340370942
Armijo Y, Limnios N, Keller-McNulty S, Wilson A. Modern statistical and mathematical methods in reliability
. Vol. 10. Reliability E volume from the 2004 international symposium on MM in, ed. World Scientific; 2005.
Keller-McNulty S, Nakhleh CW, Singpurwalla ND. A Paradigm for Masking (Camouflaging) Information. International statistical review. 2005;73:331–349.
Keller-McNulty S, Wilson AG, Wilson G. The Impact of Technology on the Scientific Method. Chance. 2005;18:4–8.
Shipp S, Chang CKN, Wisniewski L, Deputy Director ATP, Semerjian HG. Evaluation Best Practices and Results: The Advanced Technology Program. US Department of Commerce, Technology Administration, National Institute of Standards and Technology; 2005.
Amanna A, Schroeder AD. Serial wireless IP networks for DOT applications. Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. . 2004:274–279.
Higdon D, Kennedy M, Cavendish JC, Cafeo JA, Ryne RD. Combining field data and computer simulations for calibration and prediction. SIAM Journal on Scientific Computing. 2004;26:448–466.
Higdon D, Williams B, Moore L, McKay M, Keller-McNulty S. Uncertainty quantification for combining experimental data and computer simulations. Proceedings of the Foundations '04: A Workshop for VV&A in the 21st Century. Taken from the keynote lecture by S. Keller-McNulty at the Foundations ?04 Workshop, Tempe, Arizona. Los Alamos Report, LA-UR. 2004:04–6562.
Keller-McNulty S, Wilson AG. Reliability for the 21st century. Mathematical Methods in Reliability. 2004;1.
Shipp S. The advanced technology program: measuring behavioural additionality effects of government financing of business R&D.; 2004:10–11. TIP-OECD Workshop, Manchester.
Vega AM, Lancaster VA, Roulier MH. Comparison of Two Field Sampling Procedures (En Core and Field Methanol Extraction) for Volatile Organic Compounds. Environmental Science and Technology. 2004;38(24):6790–6794.
Anderson G, Powell J, Shipp S. Improving the Advanced Technology Program's Business Reporting System-A Firm-Level R&D Survey. 2003 Proceedings of the American Statistical Association, Government Statistics Section,[CD-ROM], Al. 2003.
Bennett TR, Booker JM, Keller-McNulty S, Singpurwalla ND. Testing the Untestable: Reliability in the 21st century. Reliability, IEEE Transactions on. 2003;52:118–124.
Wilson A, Keller McNulty S. Uncertainty Quantification for Complex Engineered Systems, 3rd JANNAF (Joint Army Navy NASA Air Force) Modeling and Simulation Subcommittee Meeting. Los Alamos National Lab; 2003.
Berk RA, Bickel P, Campbell K, et al. Workshop on Statistical Approaches for the Evaluation of Complex Computer Models. Statistical Science
. 2002;17:173–192. http://www.jstor.org/stable/3182823
Chang CKN, Shipp SS, Wang AJ. The advanced technology program: a public-private partnership for early stage technology development. Venture Capital: an international journal of entrepreneurial finance. 2002;4:363–370.
Higdon D. Space and space-time modeling using process convolutions. In: Quantitative methods for current environmental issues
. Springer London; 2002:37–56.
Higdon D, Lee H, Bi Z. A Bayesian approach to characterizing uncertainty in inverse problems using coarse and fine-scale information. Signal Processing, IEEE Transactions on. 2002;50:389–399.
Duncan GT, Keller-McNulty SA, Stokes SL. Disclosure Risk vs. Data Utility: The R-U Confidentiality Map. Niss; 2001.
Keller-McNulty S, Duncan G. Disclosure-Limited Statistical Analysis for Confidential Data to Support NSF-Sponsored Digital Government Grant. Los Alamos National Laboratory; 2001.
Meyer M, Keller McNulty S, Bement T, Booker J, McNulty M, Singpurwalla N. Predict. Los Alamos National Laboratory; 2001.
Rinderer T, De Guzman LI, Delatte GT, et al. Resistance to the parasitic mite Varroa destructor in honey bees from far-eastern Russia. Apidologie. 2001;32(4):381–394.
Rinderer TE, De Guzman LI, Delatte GT, et al. Multi-State Field Trials of ARS Russian Honey Bees-2. Honey Production 1999-2000. American Bee Journal. 2001;141(10):726–729.
Schroeder A, Wamsley G, Ward R. The evolution of emergency management in America: From a painful past to a promising but uncertain future. Public Administration And Public Policy. 2001;93:357–418.
Wilson A, Keller McNulty S. Statistical Representations for Information Integration. os Alamos National Laboratory; 2001.
Keller-McNulty S, Duncan G. Bayesian Insights on Disclosure Limitation: Mask or Impute? Los Alamos National Lab., Los Alamos, NM (US); 2000.
Keller-McNulty S, McNulty MS. Show Me the Data: Statistical Representation. Theoria et Historia Scientarum Los Alamos National Laboratory, an affirmative action/equal opportuni. 2000:2.
NRC. Information Technology Research for Federal Statistics, prepared by the CSTB Committee on Computing and Communications Research to Enable Better Use of Information Technology in Government (S. Keller-McNulty member). Washington, DC: National Research Council, The National Academies Press; 2000.
Shipp SS. Returning welfare to the states and the role of interest groups [Ph.D. thesis]. George Washington University; 2000.
Ward R, Wamsley GL, Schroeder AD, Robins DB. Network organizational development in the public sector: A case study of the federal emergency management administration (FEMA). Journal of the American Society for Information Science. 2000;51:1018–1032.
Besag J, Higdon D. Bayesian analysis of agricultural field experiments. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 1999;61:691–746.
Duncan G, Keller-McNulty S. Risk of Statistical Confidentiality Disclosure: A Preliminary Comparison of Masked and Synthetic Data Release. Washington, DC; 1999. Paper presented at the National Academy of Sciences, Committee on National Statistics Workshop on Co.
Higdon D, Swall J, Kern J. Non-stationary spatial modeling. Bayesian statistics. 1999;6:761–768.
Rinderer TE, De Guzman LI, Lancaster VA, Delatte GT, Stelzer JA. Varroa in the mating yard. I. The effects of Varroa jacobsoni and apistan on drone honey bees. American bee journal (USA). 1999.
Chen G, Keller-McNulty S. Estimation of identification disclosure risk in microdata. Journal Of Official Statistics-Stockholm-. 1998;14:79–95.
Eddy W, Johnstone I, Kettering J, et al. Shaping Statistics for Success in the 21st Century: A Panel Discussion. Department of Statistics, Kansas State University; 1998.
Garner TI, Short K, Shipp S, Nelson C. Experimental poverty measurement for the 1990s. Monthly Lab. Rev.. 1998;121:39.
Higdon D. A process-convolution approach to modelling temperatures in the North Atlantic Ocean. Environmental and Ecological Statistics. 1998;5:173–190.
Higdon DM. Auxiliary variable methods for Markov chain Monte Carlo with applications. Journal of the American Statistical Association. 1998;93:585–595.
Keller-McNulty S, Unger EA. A Remote Access Database System Prototype for the Release of Confidential Data. Journal of Official Statistics. 1998;14:346–360.
Lancaster V, Keller-McNulty S. In the Field: Composite Sampling, Part II. Environmental Testing and Analysis. 1998;7:14–17.
Lancaster V, Keller-McNulty S. In the Field: Composite Sampling, Part I. Environmental Testing and Analysis. 1998;7:15–18.
Lancaster VA, Keller-McNulty S. A Review of Composite Sampling Methods. Journal of the American Statistical Association
. 1998;93:1216–1230. http://www.jstor.org/stable/2669863
Lancaster VA, Keller-McNulty S. How well does composite sampling work for spatial site characterization? Environmental Testing and Analysis. 1998;7(5):14–15, 29.
Lancaster VA, Keller-McNulty S. An Application of Composite Sampling. Environmental Testing and Analysis. 1998;7(4):15,16,18, 32.
Sinacori A, Rinderer TE, Lancaster VA, Sheppard WS. A Morphological and Mitochondrial Assessment of APis Melifera from Palermo, Italy. Apidologie. 1998;Nov 29(6):481–490.
Sinacori A, Rinderer TE, Lancaster VA, Sheppard WS. A morphological and mitochondrial assessment of Apis mellifera from Palermo, Italy. Apidologie. 1998;29:481–490.
Weinberg D, Doyle P, Jones Jr A, Shipp S. Measuring the Impact of Welfare Reform with the Survey of Program Dynamics. Social Statistics Proceedings. 1998.
Garner TI, Stinson L, Shipp SS. Measuring subjective economic well-being: An economist's viewpoint.; 1997. American Association for Public Opinion Research Conference, Norfolk, Virginia, May 13.
Johnson D, Shipp S. Trends in Inequality Using Consumption-Expenditures: The US from 1960 to 1993. Review of Income and Wealth. 1997;43:133–152.
Lancaster V, Keller McNulty S. The Use of Inverse Theory on an Ill-Posed Composite Sampling Problem. Houston, Texas; 1997. Proceedings of the 22nd Symposium on the Interface of Computer Science and Statistics.
Becker RA, Keller-McNulty S. Presentation myths. The American Statistician. 1996;50:112–115.
Garner T, Stinson L, Shipp S, Session S. Affordability, Income Adequacy, and Subjective Assessments of Economic Well-Being: Preliminary Findings.; 1996:1–34. Association for Consumer Research Conference, Tucson, Arizona.
Keller McNulty S, McNulty M. Statistics and Software and Software Metrics. In A. Melton (Ed.), Software Metrics: Understanding Software Engineering. New York: Chapman Hall; 1996.
Lancaster V, Keller McNulty S. The Use of Inverse Theory in Composite Sampling Problems. Chicago, Illinois; 1996. Proceedings of the Section on Statistics and the Environment, 1996 Joint Meetings.
Lancaster V, Keller McNulty S. A Review of Composite Sampling Methods. Department of Statistics, Kansas State University; 1996.
Schroeder AD, Wamsley GL. Escalating in a Quagmire: The Changing Dynamics of the Emergency Management Policy Subsystem. Public Administration Review. 1996;56:235–244.
Wamsley GL, Schroeder AD, Lane LM. To Politicize is not to Control: The Pathologies of Control in Federal Emergency Management. The American Review of Public Administration. 1996;26:263–285.
Besag J, Green P, Higdon D, Mengersen K. Bayesian computation and stochastic systems. Statistical science. 1995:3–41.
de Guzman LI, Rinderer TE, Lancaster VA. A short test evaluating larval attractiveness of honey bees to Varroa jacobsoni. Journal of Apicultural Research. 1995;34(2):89–92.
Higgins J, Keller McNulty S. Introduction to Probability and Systems Modelling. Boston, Massachusetts: Duxbury Press; 1995.
Keller McNulty S. Error-Free Least Squares Based on Multiple Homomorphic Images. Toronto, Canada; 1995. Proceedings of the Statistical Computing Section for the 1994 Joint Meetings.
Lancaster V, Keller McNulty S. Evaluation of the Field X-Ray Fluorescence Spectrometer for the Quantitative Determination of Contaminant Levels in Soils at Hazardous Waste Sites. Department of Statistics, Kansas State University; 1995.
Ostrouchov G, Keller McNulty S. Error-Free Least Squares Based on LU Factorization Applicable to Sparse Problems. Department of Statistics, Kansas State University; 1995.
S. C, Fox R, Keller McNulty S. Mean Field Estimation for Reactive Turbulent Flow Models. Pittsburgh, Pennsylvania; 1995. Proceedings of the 20th Symposium on the Interface of Computer Science and Statistics.
Schroeder AD, Wamsley GL. The political roots of hating governrnent. In: Roanoke Times & World-News.; 1995.
Chen G, Keller McNulty S. Database Systems and Data Disclosure Limitation. San Francisco, California; 1994. Proceeding of the Government Statistics Section of the 1993 Joint Meetings.
Chen G, Wong K, McNulty S. Discussion of Statistical Methods in Software Metric Validation.; 1994. Proceedings of the 32nd Annual ACM Southeast Conference.
Johnson D, Shipp S, Jacobs E. Expenditure Trends and Measures of Inequality: 1960-92.; 1994. 23rd conference of the Association for Reasearch in Income and Wealth, St. Andrew's, Canada.
Keller McNulty S, McNulty M. Statistics and Software Metrics. Department of Statistics, Kansas State University; 1994.
Noren E, Keller-McNulty S. The Protection of Confidential Data in a Sequential Access Statistical Database. San Francisco, California.; 1994. Proceedings of the Survey Research Section of the 1993 Joint Meetings.
Jacobs E, Shipp S. A history of the US Consumer Expenditure Survey: 1935-36 to 1988-89. Journal of Economic and Social Measurement. 1993;19:59–96.
Jacobs EE, Shipp S. Consumer Expenditure Data Users Survey Results. US Department of Labor, Bureau of Labor Statistics; 1993.
Keller-McNulty S, Unger EA. Database Systems: Inferential Security. Journal Of Official Statistics-Stockholm-. 1993;9:475.
Satern MIRIAMN, Keller-McNulty S. Use of position-time graphs to compare free throw shooting styles of adult male and female basketball players. Journal of Human Movement Studies. 1992;22:13–33.
Harms B, Keller-McNulty S. Error-free solution to a Toeplitz system of equations. Signal Processing, IEEE Transactions on. 1991;39:1212–1215.
Jaeger R, Keller-McNulty S. Procedures for Eliciting and Using Judgements of the Value of Observed Behaviors on Military Job Performance Tests
. Wigdor AK, Green Jr BF, eds. Washington, DC: National Academies Press; 1991. Performance Assessment for the Workplace, Volume II: Technical Issues.
Keller McNulty S, McKay M. Probabilistic Model of Terrain Line-of-Sight. Los Alamos, New Mexico: Los Alamos National Laboratory; 1991.
Keller-McNulty S. [Enhancing Access to Microdata While Protecting Confidentiality: Prospects for the Future]: Comment. Statistical Science
. 1991;6:234–235. http://www.jstor.org/stable/2245413
Keller-McNulty S, McNulty MS, Gustafson DA. Stochastic models for software science. Journal of Systems and Software. 1991;16:59–68.
Jacobs E, Shipp S. How family spending has changed in the US. Monthly Lab. Rev.. 1990;113:20.
Keller-McNulty S, Unger EA. The Deterrent Value of Natural Change in a Statistical Database.; 1990:15–23. Proceedings of the Statistical Computing Section, American Statistical Association.
Unger E, Keller McNulty S, Connelly P. Natural change in dynamic databases as a deterrent to compromise by trackers. Ieee; 1990:116–124. Computer Security Applications Conference, 1990., Proceedings of the Sixth Annual.
Jacobs E, Shipp S, Brown G. Families of working wives spending more on services and nondurables. Monthly Lab. Rev.. 1989;112:15.
Keller-McNulty S. Statisitical Computing Software Review: Graphical Aids for Stochastic Processes. The American Statistician
. 1989;43:123–124. http://www.jstor.org/stable/2684518
Keller-McNulty S, McNulty MS. Response to: Resolving the Software Science Anomaly. Journal of Systems and Software. 1989;10:69–71.
Keller-McNulty S, McNulty MS, Unger EA. The Protection of Confidential Data.; 1989:215–219. Proceedings of the 21st Symposium on Interface, American Statistical Association, Alexandria, VA.
Jacobs E, Shipp S, Brown G. Working Wives: Do Their Families Spend Differently?; 1988. annual meeting of the American Statistical Association, New Orleans, LA.
Rinderer TE, Blum MS, Fales HM, et al. Nest plundering allomones of the fire beeTrigona (Oxytrigona) mellicolor. Journal of chemical ecology. 1988;14(2):495–501.
Unger EA, Keller McNulty S. Modeling Parallelism: An Interdisciplinary Approach. Washington, D.C.; 1988. Proceedings of the 20th Symposium on the Interface of Computer Science and Statistics.
Buco SM, Rinderer TE, Sylvester HA, Collins AM, Lancaster VA, Crewe RM. Morphometric differences between South American Africanized and South African. Apis mellifera scutellata. 1987:217–222.
Keller-Mcnulty A, Higgins JJ. Effect of Tail Weight and Outliers on Power and Type-I Error of Robust Permutation Tests for Location. Communications in Statistics-Simulation and Computation. 1987;16:17–35.
Keller-McNulty S, Kennedy WJ. Error-Free Computation of the Moore-Penrose inverse with Application to Linear Least Squares Analysis. Journal of Statistical Computation and Simulation. 1987;27:45–64.
Keller-McNulty S, McNulty M. The Independent Pairs Assumption in Hypothesis Tests Based on Rank Correlation Coefficients. The American Statistician. 1987;41:40–41.
Rinderer TE, Sylvester HA, Buco SM, et al. Improved simple techniques for identifying Africanized and European honey bees. Apidologie. 1987;18(2):179–196.
Keller-McNulty S, Kennedy WJ. An Error-Free Generalized Matrix Inversion and Linear Least Squares Method Based on Bordering. Communications in Statistics – Simulation and Computation
. 1986;15:769–785. http://dx.doi.org/10.1080%2F03610918608812539
Rinderer TE, Sylvester HA, Brown MA, et al. Field and simplified techniques for identifying Africanized and European honey bees. Apidologie. 1986;17(1):33–48.
Keller McNulty S. A Numerical Analysis Approach to the Teaching of Statistical Computing. Lexington, Kentucky; 1985. Proceedings of the 17th Symposium on the Interface of Computer Science and Statistics.
Keller McNulty S, Kennedy WJ. Error-Free Computation of a Reflexive Generalized Inverse. Linear Algebra and Its Applications. 1985;67:157–167.
Rinderer TE, Collins AM, Pesante D, Daniel R, Lancaster VA, Baxter J. A comparison of Africanized and European drones: weights, mucus gland and seminal vesicle weights, and counts of spermatozoa. Apidologie. 1985;16(4):407–412.
Keller McNulty S. Error-Free Computation of the Moore-Penrose Inverse. Philadelphia, Pennsylvania; 1984. Proceedings of the Statistical Computing Section of the 1984 Joint Meetings.
Shipp S, Mitchell N, Lal B. Portfolio Evaluation of the National Science Foundation's Grants Program for the Department-Level Reform (DLR) of Undergraduate Engineering Education. IDA Document D-3724.